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AI Summary

You will own the test strategy for internal engineering platforms and client-facing products by designing and maintaining automated test suites. Additionally, you will integrate AI-assisted workflows and CI/CD quality gates to ensure fast, reliable, and secure software delivery.

We are looking for a QA Engineer who treats manual testing as a temporary condition. You will own quality across the internal platforms our security researchers depend on and the client-facing products that deliver our findings — and you will build the automation, tooling, and AI-assisted workflows that make that coverage possible without a headcount-shaped bottleneck. If your instinct when you see a repetitive process is to write the thing that replaces it, you will fit here.


Responsibilities

  • Own the test strategy for Halborn's internal engineering platforms and client-facing products, from unit and integration coverage through end-to-end and regression suites.
  • Design, build and maintain automated test suites in code — UI, API, and data-layer — and keep them fast, deterministic, and trusted by the engineers who depend on them.
  • Use LLM-assisted tooling to accelerate test authoring, generate edge cases from specs and diffs, triage failing runs, and summarize regressions for the team.
  • Build and tune quality gates in CI/CD so that broken builds never reach a client environment, and so that the feedback loop stays measured in minutes.
  • Identify manual QA processes and automate them out of existence — release checklists, environment setup, test data generation, smoke verification, reporting.
  • Reproduce, isolate, and file defects with unambiguous repro steps, expected versus actual behavior, and enough context for an engineer to fix it without a follow-up conversation.
  • Partner with security engineers to fold security regression checks — authentication, authorization, input handling, secrets exposure — into the standard pipeline.
  • Run performance, load, and reliability testing against services handling sensitive audit and engagement data.
  • Define and report the quality metrics that matter: escaped defect rate, flake rate, coverage of critical paths, and time to detection.
  • Contribute to release readiness decisions and act as an informed voice on whether something ships.

Qualifications

  • 3 to 5 years in QA engineering, SDET, or test automation, with a demonstrated shift from manual execution toward automated coverage.
  • Strong programming ability in at least one of TypeScript, JavaScript, or Python — you write test code that other engineers are willing to read and maintain.
  • Hands-on experience with modern automation frameworks such as Playwright, Cypress, Selenium, pytest, or equivalent.
  • Practical API testing experience, including contract, integration, and negative-path testing against REST or GraphQL services.
  • Working knowledge of CI/CD systems (GitHub Actions, GitLab CI, Jenkins, or similar) and comfort owning pipeline configuration yourself.
  • Daily, deliberate use of AI coding assistants and LLM tooling in your own workflow, with a clear point of view on where they help and where they must be verified.
  • Comfort with Git, containerized local environments, and reading application code to understand what you are testing rather than testing blind.
  • Excellent written communication — in a distributed, asynchronous team, a well-written bug report or test plan is the deliverable.
  • High autonomy and strong self-direction in a fast-moving environment where priorities shift.
  • Willingness to learn the technical aspects of blockchain, smart contracts, and cybersecurity.

Bonus Points

  • Experience testing Web3 applications — wallet flows, testnets, RPC interactions, or smart contract tooling such as Foundry or Hardhat.
  • Experience building evaluation harnesses for LLM-powered features, including regression testing of non-deterministic output.
  • Background in security testing, OWASP methodology, or hands-on time with tools like Burp Suite.
  • Performance and load testing with k6, Locust, JMeter, or similar.
  • Experience with observability tooling and using production telemetry to find gaps in test coverage.
  • Open source contributions to testing frameworks or developer tooling.
  • Knowledgeable of the latest trends in Blockchain and DeFi.

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